I am trying to use Marshmallow schema to serialize the python object. Below is the schema I have defined for my data.
from marshmallow import Schema, fields
class User:
def __init__(self, name = None, age = None, is_active = None, details = None):
self.name = name
self.age = age
self.is_active = is_active
self.details = details
class UserSchema(Schema):
name = fields.Str()
age = fields.Int()
is_active = fields.Bool()
details = fields.Dict()
The input will be in dictionary format and all the values will be in string.
user_data = {"name":"xyz", "age":"20", "is_active": 'true',"details":"{'key1':'val1', 'key2':'val2'}"}
When I try to run the below snippet, values of age and is_active got converted into respective datatype but details remains unchanged.
user_schema = UserSchema()
user_dump_data = user_schema.dump(user_data)
print(user_dump_data)
Output:
{'name': 'xyz', 'is_active': True, 'details': "{'key1':'val1', 'key2':'val2'}", 'age': 20}
I need to serialize the input data into respective datatype I defined in my schema. Is there anything I am doing wrongly? Can anyone guide me how to acheive this using Marshmallow?
I am using
python 3.6
marshmallow 3.5.1
Edit
The above input data is fetched from HBase. By default HBase stores all its values as bytes and return as bytes. Below is the format I get from HBase
{b'name': b'xyz', b'age': b'20', b'is_active': b'true', b'details': b"{'key1':'val1', 'key2':'val2'}"}
Then I decode this dictionary and pass it to my UserSchema to serialize it to be used in web API.
You're confusing serializing (dumping) and deserializing (loading).
Dumping is going from object form to json-serializable basic python types (using Schema.dump) or json string (using Schema.dumps). Loading is the reverse operation.
Typically, your API loads (and validates) data from the outside world and dumps (without validation) your objects to the outside world.
If your input data is this data and you want to load it into objects, you need to use load, not dump.
user_data = {"name":"xyz", "age":"20", "is_active": 'true',"details":"{'key1':'val1', 'key2':'val2'}"}
user_loaded_data = user_schema.load(user_data)
user = User(**user_loaded_data)
Except if you do so, you'll be caught by another issue. DictField expects data as a dict, not a str. You need to enter
user_data = {"name":"xyz", "age":"20", "is_active": 'true',"details": {'key1':'val1', 'key2':'val2'}}
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With